Place names, or toponyms, provide a useful geographical reference system; they can help analyse past landscapes, recover history and understand changes. Among place names, plant place names (phytotoponyms) can be used to analyse the current and past distribution of plants and plant communities and to highlight changes in land use due to human impacts and climate change. We assessed the feasibility of using place names related to species and forest ecosystems to evaluate changes that have affected the forest landscape. As a case study, we considered Calabria, a region in southern Italy rich in toponymic studies. We used the official topographic maps of Calabria, at scales of 1:25,000 and 1: 10,000, and literature data on Calabrian toponymy. To interpret toponyms related to plants and avoid errors, we performed a joint linguistic and naturalistic analysis. A total of 1609 phytotoponyms were identified relating to 45 forest species (28 trees and 17 shrubs) and 399 place names generically related to woods and forests. The most frequent plants associated with place names were Castanea sativa (8.3% of all plant place names), Quercus pubescens s.l. (7.2%), Salix sp. pl. (6.9%) and Quercus frainetto (5.6%). All the phytotoponyms were georeferenced and mapped in a GIS. Phytotoponym distribution maps were compared with current Calabrian forest vegetation, using digital orthophotos, land use maps and literature data. A close correspondence between phytotoponyms and forest vegetation for the mountain belt was identified. In contrast, in the basal belt, we found poor correspondence between phytotoponyms and current forest vegetation, especially for wet forests, that can be accounted for by the severe changes in the landscape due to the agricultural and urban transformations that have occurred. The spread of phytotoponyms concerning species linked to forest degradation, such as Spartium junceum, emphasises the ancient anthropic impacts on forests. Our study shows that phytotoponyms are an important tool for analysing changes in vegetation over time. They make it possible to reconstruct changes in the landscape and the intended use of the territory and provide useful information on the restoration of forest ecosystems. Full article

This paper describes a study on the vegetation and floristics of the territory of Beit Jibrin in Palestine, in areas such as Forest the Snabreh (Qasa), Khallet Mahmoud and Khallet AL-Taweel, among others. In view of the lack of studies on the phytosociology and communities of plants in the south-west of Palestine, as this region represents a unique diversity of plants, and the addition of these plants to Mediterranean Basin region plants, we conducted this study to identify and describe the plants of this region. Beit Jibrin is an ancient Canaanite Palestinian city that belongs to inframediterranean and thermomediterranean thermotypes, as well as arid, semi-arid and dry ombrotypes. This area is very important floristically, with a high rate of endemism: of the 290 species documented, 37 of them (12.75%) were endemic to the region. Vegetation was sampled on twelve representative plots (releves) and analyzed using the Braun-Blanquet phytosociological analysis method. Two communities of forest maquis, macchie and steppe vegetation were found. Forest vegetation were represented by the Cupresso sempervirentis–Pinetum halepensis ass. nova. association, in the class of Quercetea ilicis Br.-Bl. ex. A. and O. Bolòs 1950, the order of Pinetalia halepensis, Biondi et al. (2014), and a new alliance: Cupresso sempervirentis–Pinus halepensis; forests maquis vegetation as the association of Pistacio lentisci—Quercetum calliprini ass. nova., with the suggested new class of Quercetea calliprini or palaestini in addition to Quercetea ilicis Br.-Bl. ex. A. and O. Bolòs 1950 and the order of Quercetalia calliprini (Zohary 1960), with an alliance of Quercion calliprini (Zohary 1960). These were adapted in arid, semi-arid, dry and sub-humid ombrotypes, as well as infra- and thermotropical to mesomediterranean thermotypes, with many different types of soils, such as limestone, brown ruinsenas, terra rossa and others. Full article

Scots pine blister rust and red ring rot are common on Scots pine throughout its entire range. Specialists do not explain a significant variation in the prevalence of the diseases uniquely since it depends on complex ecological and silvicultural factors. The aim of this research is to study the influence of forest growth conditions on the incidence of Scots pine blister rust and red ring rot in pine stands of the Priangarye (territory located along the lower reaches of the Angara within the Krasnoyarsk Krai). The research methods included a detailed forest pathological examination of prevailing pine forest types, specific symptom-based macroscopic diagnosis of the diseases, data analysis using parametric and non-parametric statistical tests. Forest growth conditions indicators included type of forest, habitat conditions, and bonitet class of forest stands. The incidence of Scots pine blister rust and red ring rot in pine forests of the Priangarye reaches the extent of moderate and severe damage, respectively. The prevalence of Scots pine blister rust is significantly higher in low-bonitet lichen pine forests; the incidence rate increases along the gradient of decreasing fertility and soil moisture level. The incidence of red ring rot is significantly higher in herb-rich pine forests, in gradations of maximum soil fertility and medium soil moisture. The revealed patterns are explained by the bioecological characteristic features of pathogens (for red ring rot—additionally by factors of structural immunity in pine trees). The results of the research should be recognized in the organization of forestry practice. Full article

Farmed parklands of the Central Plateau, Burkina Faso, integrate native woody vegetation with managed cropland. However, sapling survival in the parklands is increasingly threatened. This study characterized woody vegetation abundance along a 2.7 km long transect in the Doulou Basin, Boulkiemdé Province, Central West Region, to assess changes in vegetation composition since 1984. In addition, a householder survey was conducted to gain insight into tree uses and preferences and residents’ knowledge of regulations. In total, 4999 individuals from 26 tree species were recorded, including 123 individuals (11 species) with stem DBH ≥ 5 cm, and 4876 individuals (21 species) with stem DBH < 5 cm. The three species with the highest importance value index provided fruit for sale or self-consumption. Tree abundance was associated with soil type and topography; highest abundance was on Lixisol soils along the lower transect. Soil degradation and preference changes among residents since 1984 may have influenced tree abundance. Certain beneficial species (e.g., Vitellaria paradoxa) have declined in abundance, and certain exotics (Azadirachta indica and Eucalyptus camaldulensis) have expanded in distribution. Respondents expressed strongest interest in three species, including V. paradoxa, that show high versatility. These results supported the recorded tree composition. The respondents generally understood forest conservation regulations. Dissemination of regreening technology and awareness promotion among residents is essential for sustainable tree use in farmed parklands. Full article

This research was focused on estimation of tree canopy cover (CC) by multiscale remote sensing in south China. The key aim is to establish the relationship between CC and woody NDVI (NDVI_W) or to build a CC-NDVI_W model taking northeast Jiangxi as an example. Based on field CC measurements, this research used Google Earth as a complementary source to measure CC. In total, 63 sample plots of CC were created, among which 45 were applied for modeling and the remaining 18 were employed for verification. In order to ascertain the ratio R of NDVI_W to the satellite observed NDVI, a 20-year time-series MODIS NDVI dataset was utilized for decomposition to obtain the NDVI_W component, and then the ratio R was calculated with the equation R = (NDVI_W/NDVI) *100%, respectively, for forest (CC > 60%), medium woodland (CC = 25–60%) and sparse woodland (CC 1–25%). Landsat TM and OLI images that had been orthorectified by the provider USGS were atmospherically corrected using the COST model and used to derive NDVI_L. R was multiplied for the NDVI_L image to extract the woody NDVI (NDVI_WL) from Landsat data for each of these plots. The 45 plots of CC data were linearly fitted to the NDVI_WL, and a model with CC = 103.843 NDVI_W + 6.157 (R² = 0.881) was obtained. This equation was applied to predict CC at the 18 verification plots and a good agreement was found (R² = 0.897). This validated CC-NDVI_W model was further applied to the woody NDVI of forest, medium woodland and sparse woodland derived from Landsat data for regional CC estimation. An independent group of 24 measured plots was utilized for validation of the results, and an accuracy of 83.0% was obtained. Thence, the developed model has high predictivity and is suitable for large-scale estimation of CC using high-resolution data. Full article

The holm oak woodlands as ecotonic phytocoenoses occur under different ecological conditions, and frequently representing the climax of edaphoxerophilous series of crests and siliceous rocky areas. In this paper we study the floristic, ecological, and biogeographical differences of the edaphoxerophilous holm oak woodlands of the southwestern Iberian Peninsula, included in the Querco rotundifoliae-Oleenion sylvestris suballiance. Our phytosociological (Braun–Blanquet methodology) and numerical analysis (hierarchical cluster analysis) of three formerly described association and our own samples lead us to propose a new association: Ulici argentei-Quercetum rotundifoliae, growing mostly on semihyperoceanic Monchique Sierran Biogeographic District, on rocky slopes and outcrops derived from schists and greywackes. Moreover, we present an overview of ecological features and the diversity of plant communities occurring in the serial dynamic of the thermophile holm oak woodlands of the southwest of the Iberian Peninsula. Full article

Forest classifications by disturbance permit designation of multiple types of both old growth forests and shorter-lived forests, which auto-replace under severe disturbance, and also identification of loss of the disturbance type and associated forest. Historically, fire and flooding disturbance regimes, or conversely, infrequent disturbance, produced unique forests such as disturbance-independent forests of American beech (Fagus grandifolia), eastern hemlock (Tsuga canadensis), and sugar maple (Acer saccharum) in the Eastern United States. However, disturbance has changed to primarily frequent mechanical overstory disturbance, resulting in novel forests. To demonstrate the transition to no-analog forests after disturbance change, I compared historical tree surveys (ca. 1837 to 1857) to current surveys in the Northern Lower Peninsula of Michigan. To establish widespread disturbance change effects, I also located where beech and hemlock are currently most abundant throughout the Eastern US compared to historical distribution of beech–hemlock forests. In the Northern Lower Peninsula of Michigan, beech and hemlock historically were about 30% of all trees, but currently, beech and hemlock are 2% of all trees. Red maple (Acer rubrum) increased from 1% to 11% of all trees and aspen (Populus) increased from 2% to 13% of all trees. The squared-chord difference between historical and current surveys was 0.40, or dissimilar forests. Areas with ≥20% beech and hemlock or ≥15% of either species decreased from about 52 million to 6 million hectares, with current distribution restricted to the Northeastern US. Current forests are dissimilar to historical forests, and this transition appears to be driven by disturbance regimes without historical analogs. Disturbance change may provide perspective in forest management for climate change. Full article

This research is dedicated to solving an urgent problem associated with the large-scale destruction of taiga forests by Siberian silk moth (Dendrolimus sibiricus) outbreaks. The dynamics of the damage to dark coniferous forest stands induced by the Siberian silk moth outbreaks in mid-altitude mountains were studied. A hypothesis was formulated based on the fundamental influence of the orography on the phytophage’s dispersal within the landscape, along with the climate, which acts as a secondary predictor—a catalyst for outbreaks. The study was carried out using Landsat−8 satellite imagery time-series (from 2018 to 2020). The data were verified using a field forest pathological survey of the territory. An assessment of the defoliated forest area and damage association with the landscape was carried out using an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) digital elevation model. The assessment was aimed to detail the forecast parameters for an outbreak development in mid-altitude mountains using the orographic features—altitude, terrain slope, and slope aspect. Early warnings of phytophagous insect outbreaks in mountain southern taiga should be focused on the permanent monitoring of dark coniferous stands of the mossy group of forest types, covering altitude levels from 400 to 600 m, located on gentle terrains and slopes of up to 15 degrees. The greatest vulnerability to phytophage impacts was characterized as areas located at altitudes from 400 to 600 m. The upper limit of D. sibiricus distribution was 900 m above sea level. The results obtained provide comprehensive information on the Siberian silk moth potential reserves within the study area with the possibility of extrapolation to similar territories. The data will make it possible to model pest outbreaks based on orography and improve the forest pathological monitoring methods at the regional level. Full article

Maytenus senegalensis subsp. europaea is a shrub belonging to the Celastraceae family, whose only European populations are distributed discontinuously along the south-eastern coast of the Iberian Peninsula, forming plant communities with great ecological value, unique in Europe. As it is an endangered species that makes up plant communities with great palaeoecological significance, the development of species distribution models is of major interest under different climatic scenarios, past, present and future, based on the fact that the climate could play a relevant role in the distribution of this species, as well as in the conformation of the communities in which it is integrated. Palaeoecological models were generated for the Maximum Interglacial, Last Maximum Glacial and Middle Holocene periods. The results obtained showed that the widest distribution of this species, and the maximum suitability of its habitat, occurred during the Last Glacial Maximum, when the temperatures of the peninsular southeast were not as contrasting as those of the rest of the European continent and were favored by higher rainfall. Under these conditions, large territories could act as shelters during the glacial period, a hypothesis reflected in the model’s results for this period, which exhibit a further expansion of M. europaea’s ecological niche. The future projection of models in around 2070, for four Representative Concentration Pathways according to the fifth report of the Intergovernmental Panel on Climate Change, showed that the most favorable areas for this species would be Campo de Dalías (southern portion of Almería province) as it presents the bioclimatic characteristics of greater adjustment to M. europaea’s ecological niche model. Currently, some of the largest specimens of the species survive in the agricultural landscapes in the southern Spain. These areas are almost totally destroyed and heavily altered by intensive agriculture greenhouses, also causing a severe fragmentation of the habitat, which implies a prospective extinction scenario in the near future. Full article